Which neuron represents which part of the input?
The determination of what each neuron represents is dictated by the initial weights of the network. As you may know, the common practice is to initialize the weights randomly. This means that given the same input data, the network may switch what each neuron means. It may also function differently, taking longer or shorter times to train. However, if you set the random seed to some constant, you can make the network deterministic.